5,485 Lead Data Scientist jobs in India
Lead Data Scientist
Mumbai, Maharashtra
UnitedHealth Group
Posted today
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
Optum's Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search.
**Primary Responsibilities:**
+ Own the end-to-end data science lifecycle - from problem definition and experimentation to deployment, monitoring, and continuous improvement
+ Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases
+ Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices
+ Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency
+ Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification
+ Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation
+ Collaborate with cross-functional teams - including ML engineers, annotators, and clinical domain experts - to translate business challenges into deployable AI solutions
+ Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems
+ Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka)
+ Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation
+ Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree in Computer Science or adjacent field
+ Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application)
+ 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing
+ Solid understanding of machine learning algorithms, NLP principles, and data modeling principles
+ Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT
+ Proven excellent Communication Skills
+ Proven flexibility to provide support during critical business periods
+ Proven ability to interpret and present complex data in various formats.
+ Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs
+ Proven positive team player with a drive to learn and contribute to achieving results
+ Willingness to work in varying shifts
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#NJP
Optum's Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search.
**Primary Responsibilities:**
+ Own the end-to-end data science lifecycle - from problem definition and experimentation to deployment, monitoring, and continuous improvement
+ Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases
+ Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices
+ Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency
+ Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification
+ Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation
+ Collaborate with cross-functional teams - including ML engineers, annotators, and clinical domain experts - to translate business challenges into deployable AI solutions
+ Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems
+ Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka)
+ Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation
+ Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree in Computer Science or adjacent field
+ Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application)
+ 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing
+ Solid understanding of machine learning algorithms, NLP principles, and data modeling principles
+ Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT
+ Proven excellent Communication Skills
+ Proven flexibility to provide support during critical business periods
+ Proven ability to interpret and present complex data in various formats.
+ Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs
+ Proven positive team player with a drive to learn and contribute to achieving results
+ Willingness to work in varying shifts
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#NJP
This advertiser has chosen not to accept applicants from your region.
0
Lead Data Scientist
Pune, Maharashtra
Teradata
Posted today
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
1
Lead Data Scientist
Mumbai, Maharashtra
Teradata
Posted today
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
2
Lead Data Scientist
Navi Mumbai, Maharashtra
Teradata
Posted today
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
3
Lead Data Scientist
Teradata
Posted today
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
4
Lead Data Scientist
Navi Mumbai, Maharashtra
Teradata
Posted today
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
5
Lead Data Scientist
Teradata
Posted today
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
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6
Lead Data Scientist
Hyderabad, Andhra Pradesh
Teradata
Posted today
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
7
Lead Data Scientist
Pune, Maharashtra
Teradata
Posted today
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
8
Lead Data Scientist
Bangalore, Karnataka
Target
Posted today
Job Viewed
Job Description
**About Us**
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
**Overview about TII** ?
At Target, we have a timeless purpose and a proven strategy. And that hasn't happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target's global team and has more than 4,000 team members supporting the company's global strategy and operations.
**Pyramid Overview**
As a Lead Data Scientist in Data Sciences, you will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, you'll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding.
**Team Overview**
The Content Creation team within Data Sciences will help build AI solutions leveraging, GenAI, computer vision and traditional ML models for various marketing or site content use-cases. The team will play a crucial role in helping Target drive relevancy with guests.
**?Pos** **ition Overvie** **w**
As a Lead Data Scientist, you'll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences' and Target's culture by modeling and contributing to the culture. You'll get the opportunity to use your expertise in one or more of the following areas: machine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment.
You'll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You'll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You'll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team's products/models.
You'll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you'll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We'll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team's work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you'll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retail? It's always changing!
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
**About You**
+ 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics)
+ Masters in Computer Science, Applied Mathematics, Statistics, Physics or over 6 plus years of relevant industry experience
+ Good knowledge and experience developing optimization, simulation and statistical models
+ Experience in working with image, text data, embeddings, building visionmodels andleveraging Gen AI tools
+ Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks or Diffusion Models is desirable
+ Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
+ Excellent problem-solving skills combined with strong analytical abilities.
+ Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
+ Proven leadership skills with experience mentoring junior scientists effectively
**Know More About Us here:**
+ **Life at Target** - **Benefits** - **Culture-**
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
**Overview about TII** ?
At Target, we have a timeless purpose and a proven strategy. And that hasn't happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target's global team and has more than 4,000 team members supporting the company's global strategy and operations.
**Pyramid Overview**
As a Lead Data Scientist in Data Sciences, you will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, you'll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding.
**Team Overview**
The Content Creation team within Data Sciences will help build AI solutions leveraging, GenAI, computer vision and traditional ML models for various marketing or site content use-cases. The team will play a crucial role in helping Target drive relevancy with guests.
**?Pos** **ition Overvie** **w**
As a Lead Data Scientist, you'll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences' and Target's culture by modeling and contributing to the culture. You'll get the opportunity to use your expertise in one or more of the following areas: machine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment.
You'll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You'll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You'll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team's products/models.
You'll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you'll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We'll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team's work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you'll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retail? It's always changing!
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
**About You**
+ 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics)
+ Masters in Computer Science, Applied Mathematics, Statistics, Physics or over 6 plus years of relevant industry experience
+ Good knowledge and experience developing optimization, simulation and statistical models
+ Experience in working with image, text data, embeddings, building visionmodels andleveraging Gen AI tools
+ Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks or Diffusion Models is desirable
+ Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
+ Excellent problem-solving skills combined with strong analytical abilities.
+ Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
+ Proven leadership skills with experience mentoring junior scientists effectively
**Know More About Us here:**
+ **Life at Target** - **Benefits** - **Culture-**
This advertiser has chosen not to accept applicants from your region.
9